Evidence map›Paper›PMID 41463843›Full record

ArticleAnimals : an open access journal from MDPI2025

Integrated Transcriptomic and Proteomic Analysis Associated with Knockdown and Overexpression Studies Revealed ECHDC1 as a Regulator of Intramuscular Fat Deposition in Cattle.

Ruiying He, Li Liu, Xianya Kong, Nanfei Wang, Jianbing Tan, Zhangqing Wu, Linsen Zan, Wucai Yang

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ruiying HeCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Li LiuCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Xianya KongCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Nanfei WangCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Jianbing TanCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Zhangqing WuCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Linsen ZanCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Wucai YangCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.

Funding

National Beef Cattle Industrial Technology System CARS-37Shenzhen Science and Technology Program JCYJ20230807111502006Shenzhen Science and Technology Program JCYJ20240813152008011
6 · The paper itself

Abstract

Intramuscular fat (IMF) content is a critical determinant of beef quality and is regulated by various factors. However, the molecular mechanisms underlying IMF deposition in cattle remain poorly understood, particularly with regard to multi-omics integrated analyses. In this study, an integrative analysis of transcriptomic and proteomic profiles was performed on intramuscular fat tissue of Jiaxian Red cattle with different marbling grades to identify key genes and pathways involved in intramuscular fat deposition in beef cattle. Integrated analysis showed that 4532 genes were co-expressed at both mRNA and protein level, among which 21 genes exhibited significant differential expression at mRNA and protein level. These genes showed significant enrichment in lipid biosynthesis and metabolic processes. ECHDC1 was selected for in-depth functional studies on bovine intramuscular preadipocyte adipogenesis as a candidate gene via RNA interference and overexpression techniques. The results indicated that knockdown of ECHDC1 inhibited the adipogenesis of bovine intramuscular preadipocytes and significantly upregulated the expression of HSL. Conversely, overexpression of ECHDC1 promoted the adipogenesis of bovine intramuscular preadipocytes, decreased the expression of HSL and increased the expression of FABP4. In summary, these results suggested that ECHDC1 promoted intramuscular fat deposition by attenuating lipolysis rate by downregulating the expression of the lipolytic gene HSL, providing a potential molecular target for enhancing IMF content in beef cattle.

Indexed as

cattleECHDC1IMF contentproteometranscriptome

Identifiers

PMID41463843
PMCPMC12729966

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.